Senior Embedded Software Engineer - Remote Eligible

Infleqtion Senior Embedded Software Engineer

At Infleqtion we solve the world's most challenging problems using cutting-edge quantum technology. Our mission is to commercialize atom-based quantum products that provide orders of magnitude improvements in sensing and computing applications. We are proud to work tirelessly to create and lead the quantum ecosystem towards meaningful advancements today and set the technology roadmap for tomorrow.

Position Summary

Within Infleqtion's Computing Product Group (CPG), the Hardware Engineering Team is seeking a Senior Embedded Software Engineer to own and deliver high-performance embedded and systems software enabling real-time quantum error correction and classical control at scale. This role focuses on integrating NVIDIA high-speed interconnects with quantum error-correction decoding pipelines, in close collaboration with quantum software, physics, and hardware teams. This position is scoped as a senior-level individual contributor role: the engineer independently owns complex subsystems end-to-end within an established architecture, solves technically hard problems, interacts directly with external partners, and mentors developing engineers, without defining long-term platform architecture. The engineer will also serve as a point-of-contact (POC) for subsystem hardware integration with NVidia's NVQLink.

Job Responsibilities

Typically, you will be entrusted with:

• Independently design, implement, validate, and maintain embedded and systems-level software subsystems supporting real-time quantum error correction and control.
• Translate quantum error-correction requirements (code distance, syndrome rates, latency budgets) into concrete classical compute, memory, and interconnect requirements.
• Design systems that meet deterministic latency, bandwidth, and reliability requirements across CPU, GPU, FPGA, and high-speed interconnect domains.
• Serve as the technical point-of-contact for NVIDIA NVQLink integration, including topology, bandwidth modeling, latency characterization, and failure modes. Involves direct interaction with NVIDIA personnel as well as HPC experts in academia and US national labs.
• Collaborate closely with Quantum Software, Physics, Electrical, and Systems Engineering to co-design hardware/software interfaces.
• Troubleshoot and resolve complex performance, scaling, and integration issues spanning firmware, drivers, OS (Embedded Linux / bare-metal environments), GPU runtimes, and hardware.
• Develop and maintain validation infrastructure, performance benchmarks, and test harnesses for deterministic behavior and scaling.
• Provide informal mentorship through design reviews, code reviews, and technical guidance.